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Updated weekly · Last refresh Aug 30

Hermes Corporate Data Engineer Interview Questions

The questions to prepare for a Hermes Corporate Data Engineer interview. Questions from real interview reports rank first. Updated weekly.

17questions
~2htotal time
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1
PipelinesStart here. 7 questions · ~56 min
Preferred ETL and Transformation ToolsEasy

Explain your preferred extraction and transformation stack, and the reasoning behind those tool choices.

ToolsETLELTHermes Corporate
Designing a Complex Data ArchitectureHard

Tests end-to-end system design depth, scalability, and maintainability.

system designdata architectureHermes Corporate
Distributed Computing FrameworksMedium

Tests experience designing and running distributed data processing systems.

distributed computingdata processingFrameworksHermes Corporate
Ensuring Data QualityMedium

Tests data validation, monitoring, and integrity controls in production pipelines.

Data Qualitydata integrityPipelinesHermes Corporate
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2
Behavioral & Leadership7 questions · ~56 min
Prioritizing Conflicting DeadlinesMedium

Tests prioritization, planning, and execution under time pressure.

time managementPrioritizationHermes Corporate
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3
More topics3 questions · ~24 min
SQL vs NoSQL Trade-offsMedium

Tests database architecture reasoning and trade-off analysis for real workloads.

logisticsdatabase architectureHermes Corporate
Solving a Challenging Coding ProblemMedium

Tests problem-solving ability and coding fundamentals relevant to data engineering.

project experiencecoding challengeProblem SolvingHermes Corporate
Optimizing Complex SQLMedium

Tests SQL performance tuning skills for large-scale data workloads.

large datasetsHermes Corporate

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Rolling Average with SQL WindowsMedium
Practice
Practice drill

Calculate each active RpmGlobal Enterprise Planning user's 30-day rolling average of daily activity.

TavantRpmglobalTwo Six Technologies
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
SQL Data Quality ChecksHard
Practice
Practice drill

Detect missing fields, duplicate transaction keys, invalid amounts, and merchant reference issues with PostgreSQL CTEs and joins.

Data Qualitynull handlingdata integritySigmoid
The finish line: interview-readyComplete all 17 questions plus 3 hands-on drills to finish this plan.